Summary of Selfredepth: Self-supervised Real-time Depth Restoration For Consumer-grade Sensors, by Alexandre Duarte et al.
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
by Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge
First submitted to arxiv on: 5 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses the issue of inaccurate depth maps produced by consumer-grade sensors, which often suffer from missing data. Existing data-driven denoising algorithms require vast amounts of ground truth depth data, but recent research has employed self-supervised learning techniques to mitigate this limitation. However, these approaches typically focus on single isolated depth maps or specific subjects of interest, leaving a gap in real-time dynamic environments. The authors propose SelfReDepth, a self-supervised deep learning technique for depth restoration and hole-filling by inpainting full-depth maps captured with RGB-D sensors. This approach utilizes multiple sequential depth frames coupled with color data to achieve high-quality depth videos with temporal coherence. SelfReDepth is designed to be compatible with various RGB-D sensors and usable in real-time scenarios as a pre-processing step before applying other depth-dependent algorithms. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper solves a problem with depth maps from consumer-grade sensors, which can have missing or inaccurate data. To fix this, researchers use special computer programs that learn how to correct the errors without needing lots of accurate data first. But these programs usually only work for one specific type of depth map or object. The authors created a new program called SelfReDepth that can correct depth maps in real-time and work with different sensors and objects. |
Keywords
» Artificial intelligence » Deep learning » Self supervised
